Grooved texture depth detection algorithm for cement concrete pavement

Abstract

The invention discloses a grooved texture depth detection algorithm for a cement concrete pavement. The grooved texture depth detection algorithm comprises the following steps: inputting a three-dimensional data matrix of an image, and performing filtering processing on data; performing partitioning processing on the three-dimensional image data matrix after filtering, and dividing the data matrix to N uniform blocks according to the size of the matrix; calculating the corresponding texture depth of the block one by one; and calculating the mean texture depth one block by one block, and calculating an arithmetic mean of the N mean texture depths, namely the texture depth value TD of the image. According to the grooved texture depth detection algorithm, the real-time, high-efficient and quantitative detection of skid-resisting capacity of the cement concrete pavement can be realized. The method provided by the invention has the advantages of simplicity in calculation and short operation time, and is suitable for being used in a real-time system. According to the method provided by the invention, human intervention is not required, surface measurement is adopted, the efficiency of the method is high and the detection is precise; the influence of an inclined plane is eliminated, and the range of applications is wide, and potent information support can be provided for maintenance and management of the cement concrete pavement, and the maintenance and management level of a highway is improved.

Description

technical field [0001] The invention relates to the technical field of road maintenance, in particular to an algorithm for detecting the depth of a cement concrete pavement groove structure. Background technique [0002] Cement concrete pavement has the advantages of large bearing capacity, strong diffusion load capacity, good stability, long service life, and low daily maintenance costs. In particular, cement concrete pavement has strong performance and disaster resistance. It is one of the important pavement structure types in the southern region. one. However, in the technical design and construction of cement concrete pavement structure, more attention is paid to the structural characteristics, but the anti-sliding ability of the pavement is often not paid enough attention, which leads to the reduction of the anti-sliding ability of the pavement, and the driving safety of the vehicle within a long design period. Obtain effective guarantee, the traffic accident of cement...

AI Technical Summary

Problems solved by technology

Among them, the pendulum friction coefficient meter and the dynamic friction coefficient meter (DFT) are all fixed-point measurements, which cannot be measured continuously, and the efficiency is low; the locking wheel type friction coefficient meter, the lateral force type friction coefficient meter, and the fixed slip rate type Both the friction coefficient meter and the variable slip rate type friction coefficient meter can only be used for on-site testing. The measurement of the road surface that the test wheel passes is a line measurement, and it is expensive, and it cannot be used on a large scale in my country; Or on the cement concrete pavement with pit-like surface structure, the test results are affected to a certain extent, and the measurement area is small, and the efficiency is low; the volume method and the liquid outflow method have low efficiency and are not easy to measure in wet weather. For roads with long mileage, only Select some road sections for sampling investigation, which reduces the evaluation of the test results on the anti-skid ability of the road surface of the entire road section

In summary, the existing detection technology has problems such as large error, low efficiency, and high cost. It is very necessary to study a high-efficiency, accurate detection algorithm for the depth detection of the groove structure of cement concrete pavement.

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